Evidence map›Paper›PMID 40824349›Full record

ArticleJapanese journal of radiology2026

Integrated evaluation of Nigrosome 1 sign, neuromelanin-sensitive MR and iron deposition.

Yasutaka Fushimi, Kiarash Ghassaban, Sean K Sethi, Satoshi Nakajima, Sachi Okuchi, Akihiko Sakata, Takayuki Yamamoto, Sayo Otani, Satoshi Ikeda, Yuta Terada and 3 more

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yasutaka FushimiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. yfushimi@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-1982-3168
Kiarash GhassabanSpinTech MRI., Bingham Farms, MI, USA.
Sean K SethiSpinTech MRI., Bingham Farms, MI, USA.
Satoshi NakajimaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Sachi OkuchiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Akihiko SakataDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takayuki YamamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Sayo OtaniDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Satoshi IkedaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuta TeradaDepartment of Neurology, Kyoto University Hospital, Kyoto, Japan.
Atsushi ShimaDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nobukatsu SawamotoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

Japan Society for the Promotion of Science JP22K07746Japan Society for the Promotion of Science JP24K18796Japan Society for the Promotion of Science JP25K02603
6 · The paper itself

Abstract

purposeTo differentiate between Parkinson's Disease (PD) and healthy controls by using integrated analysis of PD-specific MR findings including deformation of the substantia nigra pars compacta (SNpc), signal loss in neuromelanin (NM) sensitive MRI, and iron deposition in the deep gray matter (DGM) structures. MATERIALS AND

methodsPatients with PD and healthy controls were recruited between August 2022 and December 2023. All subjects underwent 3 T MRI including a magnetization transfer contrast (MTC) and a double flip angle multi-echo protocol as part of Strategically Acquired Gradient Echo (STAGE). The data analysis included detecting the presence of Nigrosome-1 (N1) sign in the SNpc, signal intensity and volume of NM content and iron quantification through quantitative susceptibility mapping (QSM) in DGMs. The 3D regions of interest were manually demarcated on QSM maps. Mean susceptibility values from global analysis (whole structure) as well as regional high iron analysis (age-based threshold) were extracted for each individual structure. Univariate and multivariate analyses were performed using these parameters.

resultsNineteen patients with PD (68.0 ± 8.0 years, 10 males, Hoehn and Yahr scale 1 (n = 1), 2 (n = 13), 3 (n = 4), 4 (n = 1)) and 21 healthy controls (68.3 ± 8.6 years, 12 males) were enrolled. Discriminating PD from controls was successful using each method: N1 sign (P < 0.001), NM volume (P < 0.001), susceptibility values of global analysis (caudate, P < 0.001; putamen, P < 0.001; pulvinar, P = 0.006), regional analysis (putamen, P < 0.001; pulvinar, P = 0.009, thalamus, P = 0.008). Stepwise logistic regression analyses were performed, and the best model was created using N1 sign, NM volume, regional analysis (putamen, red nucleus and thalamus) (area under the curve of 0.99).

conclusionsIntegrated analysis of PD specific MR findings including N1 sign, NM volume, and iron content in the DGM structures robustly discriminates between PD and healthy controls.

Indexed as

IronMagnetic Resonance ImagingMelaninsParkinson DiseaseSubstantia NigraAgedCase-Control StudiesFemaleGray MatterHumansMaleMiddle AgedIronMelaninsneuromelaninNeuromelanin sensitive MRINigrosome 1Parkinson’s diseaseQuantitative susceptibility mapping

Identifiers

PMID40824349
PMCPMC12769993

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.